Zusammenfassung
Die Trennung von Artificial Intelligence, Machine Learning und Deep Learning als unabhängige Techniken ist eine Voraussetzung für das Data Management. Die Geschichte der künstlichen Intelligenz ist wichtig, um sie in Bezug auf das Data Management zu positionieren. Theoretische Grundlagen von Machine Learning und Deep Learning werden an praktischen Beispielen so weit behandelt, wie sie für ein grundlegendes Verständnis der beiden Methoden, ihrer Unterschiede und Anforderungen an Data Governance, Datenethik und Datenqualität im Kontext des Data Managements notwendig sind.
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Gronwald, KD. (2024). Machine Learning, Deep Learning und Artificial Intelligence. In: Data Management. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-68668-3_6
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